Physical Design Methodology & Flow Engineer

Reposted 2 Months Ago
Be an Early Applicant
San Jose, CA, USA
In-Office
180K-255K Annually
Senior level
Artificial Intelligence • Hardware • Machine Learning • Natural Language Processing • Software • Generative AI
SambaNova is the #1 platform for business AI.
The Role
Own and develop Cadence-based RTL-to-GDS physical design flows for RDU chips. Maintain and enhance Genus/Innovus/Cerebrus toolflows, script automation (TCL/Perl/Python), collaborate with physical designers and tool vendors, and ensure compliance with advanced TSMC node design rules (3nm and below).
Summary Generated by Built In

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.

About the roel

SambaNova Systems is looking for a talented and motivated Physical design flow owner/lead to help us build state of the art RDU chips for machine learning and artificial intelligence. 

Responsibilities
  • Develop and maintain physical composition flow utilizing Cadence tool sets, including Genus, Innovus, Cerebrus, , etc.
  • Closely work with physical designers to address a diverse range of flow and design issues.
  • Collaborate with tool vendors to address tool bugs and flow enhancement.
Required Qualifications
  • BS, MS, or PhD degree in Computer Science, Computer Engineering or Electrical Engineering
  • 5+ years of industry experience in physical design and flow development
  • Strong understanding of rtl to gds flow and mythologies, including synthesis and place and route;
  • Proficiency in scripting languages, e.g. TCL, Perl and Python, etc. is required;
  • Good understanding physical design rules especially for TSMC advanced technology nodes 3nm below;
  • Familiarity with Cadence physical design reference flow and mythologies is highly desirable;
  • Fluency in Claude / AI tools for flow development is a plus 

Base Salary Range:

Base Pay Range
$180,000—$255,000 USD

Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. 

EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

Skills Required

  • BS, MS, or PhD in Computer Science, Computer Engineering or Electrical Engineering
  • 5+ years of industry experience in physical design and flow development
  • Strong understanding of RTL-to-GDS flow and methodologies, including synthesis and place and route
  • Proficiency in scripting languages (TCL, Perl, Python)
  • Good understanding of physical design rules for TSMC advanced technology nodes (3nm and below)
  • Familiarity with Cadence physical design reference flow and methodologies
  • Fluency in Claude / AI tools for flow development
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The Company
HQ: Palo Alto, CA
500 Employees
Year Founded: 2017

What We Do

AI is changing the world and at SambaNova, we believe that you don’t need unlimited resources to take advantage of the most advanced, valuable AI capabilities - capabilities that are helping organizations explore the universe, find cures for cancer, and giving companies access to insights that provide a competitive edge. We deliver the world’s fastest and only complete AI solution for enterprises and governments with world-record inference performance and accuracy. Powered by the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), organizations can build a technology backbone for the next decade of AI innovation with SambaNova Suite. Our fully integrated hardware-software system, DataScale®, enables organizations to train, fine-tune, and deploy the most demanding AI workloads using the largest and most challenging models. Most recently, with the launch of our newest offering, SambaNova Cloud, developers can supercharge AI-powered applications on Llama 3.2 models. SambaNova was founded in 2017 in Palo Alto, California, by a group of industry luminaries, business leaders, and world-class innovators who understand AI. Today, we’ve built an incredibly smart and motivated team dedicated to making a lasting impact on the industry and equipping our customers to thrive in the new era of AI.

Why Work With Us

As a talent first company, we aim to hire the greatest and most innovative minds in the industry- driving the next generation of AI computing where no barrier is too high and the possibilities are truly limitless. We encourage our peers to take risks and take the initiative to make a lasting impact on the AI and ML industries.

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